000944846 000__ 04791cam\a2200469Ki\4500 000944846 001__ 944846 000944846 005__ 20230306152311.0 000944846 006__ m\\\\\o\\d\\\\\\\\ 000944846 007__ cr\cn\nnnunnun 000944846 008__ 200827s2020\\\\si\\\\\\ob\\\\001\0\eng\d 000944846 019__ $$a1193134453$$a1204152306 000944846 020__ $$a9789811529412$$q(electronic book) 000944846 020__ $$a9811529418$$q(electronic book) 000944846 020__ $$z981152940X 000944846 020__ $$z9789811529405 000944846 0247_ $$a10.1007/978-981-15-2941-2$$2doi 000944846 035__ $$aSP(OCoLC)on1190724241 000944846 035__ $$aSP(OCoLC)1190724241$$z(OCoLC)1193134453$$z(OCoLC)1204152306 000944846 040__ $$aYDX$$beng$$erda$$cYDX$$dYDXIT$$dEBLCP$$dN$T$$dOCLCF$$dUKMGB$$dNLW$$dSFB$$dUKAHL 000944846 049__ $$aISEA 000944846 050_4 $$aGC228.5$$b.H83 2020 000944846 08204 $$a551.462$$223 000944846 1001_ $$aHuang, Rui Xin,$$eauthor. 000944846 24510 $$aHeaving, stretching and spicing modes :$$bclimate variability in the ocean /$$cRui Xin Huang. 000944846 264_1 $$aSingapore :$$bSpringer,$$c[2020] 000944846 300__ $$a1 online resource 000944846 336__ $$atext$$btxt$$2rdacontent 000944846 337__ $$acomputer$$bc$$2rdamedia 000944846 338__ $$aonline resource$$bcr$$2rdacarrier 000944846 500__ $$aJointly published with Higher Education Press. 000944846 504__ $$aIncludes bibliographical references and index. 000944846 5050_ $$aBasic concepts -- Climate variability diagnosed in spherical coordinates -- Climate variability diagnosed in z-coordinate -- External/internal modes in meridional/zonal directions -- Adiabatic signals in the upper ocean -- The regulation of MOC (MHF) by wind stress and buoyancy anomaly -- Adiabatic Heaving signals in the deep ocean -- Heaving, stretching, spicing and isopycnal analysis -- Heaving, stretching and spicing modes -- Potential Spicity -- Sigma-pi diagram and its application -- Isopycnal analysis -- Heaving modes in the world oceans -- Heaving induced by wind stress anomaly -- Heaving induced by anomalous freshwater forcing -- Heaving induced by anomalous wind, freshening and warming -- Heaving induced by convection generated gravity anomaly -- Heaving induced by deep convection generated volume loss -- ENSO events and heaving modes -- Heaving signals in the isopycnal coordinate -- Introduction -- Coordinate transformation by the casting method -- Coordinate transformation by the projecting method -- Difference between the casting method and the projecting method -- Isopycnal layer analysis for the world oceans -- Isopycnal layer analysis based on -- Heaving signals for the shallow water in the Pacific-Indian basin -- Heaving signal propagation through the equatorial sections -- Heaving signals in the isothermal coordinate -- Introduction -- Casting method -- Casting method applied to the GODAS data -- Projecting method -- Signal of layer depth and zonal velocity in the Pacific basin -- Z-theta diagram and its application to climate variability analysis -- Climate signals in the salinity coordinates -- Introduction -- Casting method -- Separating the signals into external and internal modes -- Analysis based on the GODAS data -- Shallow salty water sphere in the Atlantic Ocean. 000944846 506__ $$aAccess limited to authorized users. 000944846 520__ $$aThis book is focused on fundamental aspects of climate variability in the ocean, in particular changes of the wind-driven circulation. The vertical movement of isopycnal (isothermal) layers, including their stretching and compression, is called heaving and stretching. A major part of climate variability in the ocean is heaving in nature. Heave is primarily associated with the adiabatic motions of isopycnal layers due to change of wind stress. It is rather difficult to separate the contributions from adiabatic and diabatic processes. Isopycnal analysis has been widely used in climate study; however, it is much more accurate to study the isopycnal layers. Here climate signals are examined in terms of changes of layer depth, layer thickness, layer temperature/salinity, spicity and others. In addition to the traditional Theta-S diagram, the sigma-pi (potential density -- potential spicity) diagram can also be used in analyzing water mass property distribution and climate variability. In fact, a radius of signal can be defined rigorously for signals in the sigma-pi diagram; the combination of isopycnal analysis and evaluation of radius of signal provides a powerful tool in analyzing climate variability in the world oceans. 000944846 588__ $$aDescription based on online resource; title from digital title page (viewed on October 09, 2020). 000944846 650_0 $$aOcean circulation. 000944846 650_0 $$aMarine meteorology. 000944846 77608 $$iPrint version:$$z981152940X$$z9789811529405$$w(OCoLC)1134443360 000944846 852__ $$bebk 000944846 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-2941-2$$zOnline Access$$91397441.1 000944846 909CO $$ooai:library.usi.edu:944846$$pGLOBAL_SET 000944846 980__ $$aEBOOK 000944846 980__ $$aBIB 000944846 982__ $$aEbook 000944846 983__ $$aOnline 000944846 994__ $$a92$$bISE